Identification of differentially expressed proteins in the cervical mucosa of HIV-1-resistant sex workers

J Proteome Res. 2008 Oct;7(10):4446-54. doi: 10.1021/pr800406r. Epub 2008 Aug 16.

Abstract

Novel tools are necessary to understand mechanisms of altered susceptibility to HIV-1 infection in women of the Pumwani Sex Worker cohort, Kenya. In this cohort, more than 140 of the 2000 participants have been characterized to be relatively resistant to HIV-1 infection. Given that sexual transmission of HIV-1 occurs through mucosal surfaces such as that in the cervicovaginal environment, our hypothesis is that innate immune factors in the genital tract may play a role in HIV-1 infection resistance. Understanding this mechanism may help develop microbicides and/or vaccines against HIV-1. A quantitative proteomics technique (2D-DIGE: two-dimensional difference in-gel electrophoresis) was used to examine cervical mucosa of HIV-1 resistant women ( n = 10) for biomarkers of HIV-1 resistance. Over 15 proteins were found to be differentially expressed between HIV-1-resistant women and control groups ( n = 29), some which show a greater than 8-fold change. HIV-1-resistant women overexpressed several antiproteases, including those from the serpin B family, and also cystatin A, a known anti-HIV-1 factor. Immunoblotting for a selection of the identified proteins confirmed the DIGE volume differences. Validation of these results on a larger sample of individuals will provide further evidence these biomarkers are associated with HIV-1 resistance and could help aid in the development of effective microbicides against HIV-1.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Biomarkers / analysis
  • Cervix Uteri* / anatomy & histology
  • Cervix Uteri* / virology
  • Female
  • HIV Antigens / analysis*
  • HIV Infections / immunology*
  • HIV Infections / transmission
  • HIV-1 / chemistry*
  • HIV-1 / metabolism
  • Humans
  • Immunity, Innate / physiology*
  • Kenya
  • Middle Aged
  • Molecular Sequence Data
  • Mucous Membrane / virology*
  • Sex Work*

Substances

  • Biomarkers
  • HIV Antigens